Sensor web: Difference between revisions
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The '''Sensor Web''' is a type of sensor network or [[geographic information system]] (GIS) that is especially well suited for [[environmental monitoring]] and control. |
The '''Sensor Web''' is a type of sensor network or [[geographic information system]] (GIS) that is especially well suited for [[environmental monitoring]] and control. The term describes a specific type of [[sensor network]]: an '''amorphous network''' of spatially distributed [[sensor]] platforms ('''pods''') that wirelessly communicate with each other. This amorphous architecture is unique since it is both synchronous and [[router]]-free, making it distinct from the more typical [[TCP/IP]]-like network schemes. The architecture allows every pod to know what is going on with every other pod throughout the Sensor Web at each measurement cycle. |
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Note that a Sensor Web pod is merely a physical platform for a sensor and thus can be orbital or terrestrial, fixed or mobile and might even have real time accessibility via the [[Internet]]. Pod-to-pod communication is both omni-directional and bi-directional where each pod sends out collected data to every other pod in the network. As a result, on-the-fly data fusion, such as false positive identification and plume tracking, can occur within the Sensor Web itself and the system subsequently reacts as a coordinated, collective whole to the incoming data stream. For example, instead of having uncoordinated smoke detectors, a Sensor Web can react as a single, spatially-dispersed, fire locator. |
Note that a Sensor Web pod is merely a physical platform for a sensor and thus can be orbital or terrestrial, fixed or mobile and might even have real time accessibility via the [[Internet]]. Pod-to-pod communication is both omni-directional and bi-directional where each pod sends out collected data to every other pod in the network. As a result, on-the-fly data fusion, such as false positive identification and plume tracking, can occur within the Sensor Web itself and the system subsequently reacts as a coordinated, collective whole to the incoming data stream. For example, instead of having uncoordinated smoke detectors, a Sensor Web can react as a single, spatially-dispersed, fire locator. |
Revision as of 06:29, 28 March 2007
The Sensor Web is a type of sensor network or geographic information system (GIS) that is especially well suited for environmental monitoring and control. The term describes a specific type of sensor network: an amorphous network of spatially distributed sensor platforms (pods) that wirelessly communicate with each other. This amorphous architecture is unique since it is both synchronous and router-free, making it distinct from the more typical TCP/IP-like network schemes. The architecture allows every pod to know what is going on with every other pod throughout the Sensor Web at each measurement cycle.
Note that a Sensor Web pod is merely a physical platform for a sensor and thus can be orbital or terrestrial, fixed or mobile and might even have real time accessibility via the Internet. Pod-to-pod communication is both omni-directional and bi-directional where each pod sends out collected data to every other pod in the network. As a result, on-the-fly data fusion, such as false positive identification and plume tracking, can occur within the Sensor Web itself and the system subsequently reacts as a coordinated, collective whole to the incoming data stream. For example, instead of having uncoordinated smoke detectors, a Sensor Web can react as a single, spatially-dispersed, fire locator.
Today, there have been a variety of Sensor Web field deployments with systems spanning as many as 6 miles and running continuously for over 3 years. Sensor Webs have been field tested in many environments including the gardens at the Huntington Library for botanical conditions including soil moisture and temperature, Antarctica to monitor microclimate conditions for extreme life detection, and, in cooperation with the University of Arizona, in the Central Avra Valley Storage and Recovery Project for flooding detection. Sensor Webs have also proved valuable in urban search and rescue, as well as infrastructure protection.
External links
- SensorWare Systems, Inc. — A company spun-out of the NASA Sensor Webs Project and providing Sensor Web technology especially for agricultural, life safety, and remediation needs. Live, real-time streaming data from deployed systems may also be found on this site.
- Sensor Web Alliance — An organization that is developing a collaborative research platform called the Sensor Web Alliance (SWA). The aim is to pool resources in the SWA, coordinate research and allow participating organisations to share IP, which will spread risk and lower the cost of entry.
- SenseWeb Project — A Microsoft Research project that lets users visualize and query real-time data using a geographical interface such as Windows Live Local and allows data owners to easily publish their live data using a web service interface.
- SensorWeb@GeoICT Lab, York University — An university research lab that is developing a GIS infrastructure for the Sensor Web and its applications. Several Sensor Web applications have been developed and deployed for environmental and agricultural applications. Project information, publications, and demo videos can be found on this site.
- 52°North — An open partnership organization that interoperable web services and data encoding models, which constitute the technical building blocks of Spatial Data Infrastructures (SDIs).
- OGC SWE — Since 2002, the Open Geospatial Consortium (OGC) has had a focused Sensor Web Enablement (SWE) activity. From the OGC perspective, a Sensor Web refers to web accessible sensor networks and archived sensor data that can be discovered and accessed using standard protocols and application program interfaces (APIs). In essence the OGC represents a "world wide web" of sensors.
- Open SensorWeb Architecture Project - The project focuses on the development of service-oriented middleware for SensorWeb that integrates sensor networks and distributed computing environements such as computational Grids.
- SensorWeb Research Lab - A multidisciplinary team involving computer scientists (Washington State University), space scientists (NASA Jet Propulsion Laboratory (JPL)), and earth scientists (USGS Cascade Volcano Observatory (CVO)), is developing a prototype dynamic and scalable hazard monitoring sensor-web and apply it to volcano monitoring. The combined Optimized Autonomous Space - In-situ Sensor-web (OASIS) will have two-way communication capability between ground and space assets, use both space and ground data for optimal allocation of limited power and bandwidth resources on the ground, and use smart management of competing demands for limited space assets. This project should not be confused with the NASA/JPL Sensor Webs Project discussed in the article and is comprised mostly of a few inter-communicating satellites as nodes rather than many pods. Moreover, the communication between these satellites is neither synchronous nor router-free.
References
- The Sensor Web: Distributed Sensing for Collective Action, Kevin A. Delin Sensors Online July 2006, 18 [1] open access publication.
- The Sensor Web: A Distributed, Wireless Monitoring System, Kevin A. Delin Sensors Online April 2004, 21 [2] open access publication.
- The Sensor Web: A Macro-Instrument for Coordinated Sensing, Kevin A. Delin Sensors 2002, 2, 270-285 [3] open access publication.
- Environmental Studies with the Sensor Web: Principles and Practice, Kevin A. Delin, Shannon P. Jackson, David W. Johnson, Scott C. Burleigh, Richard R.Woodrow, J. Michael McAuley, James M. Dohm, Felipe Ip, Ty P.A. Ferré, Dale F. Rucker, Victor R. Baker Sensors 2005, 5, 103-117 [4] open access publication.
- Sensor Webs, K.A. Delin, S.P. Jackson, and R.R. Some NASA Tech Briefs 1999, 23, 90 [5] open access publication.
- OGC Sensor Web Enablement: Overview and High Level Architecture, Botts, Percivall, Reed, and Davidson [6] OGC White Paper, July 2006 open access publication.
- Open Sensor Web Architecture: Core Services,Xingchen Chu, Tom Kobialka, Bohdan Durnota, and Rajkumar Buyya, Proceedings of the 4th International Conference on Intelligent Sensing and Information Processing (ICISIP 2006,IEEE Press, Piscataway, New Jersey, USA, ISBN 1-4244-0611-0, 98-103pp), Dec. 15-18, 2006, Bangalore, India. [7] open access publication.